The episode delves into how modern NLP models—BERT, GPT‑3, and transformer-based embeddings—turn unstructured customer chatter from social media, support tickets, and reviews into actionable signals. It covers real‑world cases like FitTrack’s churn reduction and TrendShop’s shipping optimization, while examining data pipelines, privacy safeguards, edge deployment, and the evolving regulatory landscape that shapes AI‑driven customer insight tools.
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